They Are Rare

Ah, the classic "distracted boyfriend" meme but with a project management twist! The guy (labeled "LEADERSHIP") is clearly checking out "AGILE" while his current girlfriend ("WATERFALL") looks on in disbelief. It's that moment when your team swears they're committed to Waterfall methodology but can't stop eyeing those sexy Scrum boards and daily standups. Sure, you've got documentation and Gantt charts at home, but look at Agile over there with her flexible iterations and customer feedback loops! 😂 Tale as old as time: companies claiming they "follow Agile principles" while secretly still planning everything upfront and freaking out when requirements change. The software development equivalent of "it's complicated" relationship status!

The industry just speedran from "make pretty slides" to "write everything in markdown and shove it in git" in four months. Engineers went from sitting through PowerPoint marathons to actually shipping code as documentation. PMs now track customer issues in real-time with actual logs instead of relying on vibes and quarterly surveys. And the cherry on top? PMs are expected to fix their own typos in the repo instead of filing a ticket with engineering. The definition of "good engineer" shifted faster than a JavaScript framework. Yesterday it was "writes clean code," today it's "treats documentation like code, monitors production like a hawk, and doesn't need a PM to proofread their commit messages." Welcome to the future where everyone's expected to be full-stack... including the product managers.

So we were promised AI would automate all the boring stuff and free us up to do actual work. Instead, we got more meetings—just now they're about AI. Strategy sessions, adoption roadmaps, governance committees, ethical frameworks... it's meetings all the way down. The cruel irony is that AI was supposed to be our savior from calendar hell, but management heard "AI" and immediately scheduled 6 recurring syncs to discuss it. You're not coding anymore—you're explaining to stakeholders why ChatGPT can't just "fix the legacy codebase" while your actual sprint work collects dust. The revolution will not be automated. It will be scheduled for 2pm on Thursday with optional attendance.

Ah yes, the mythical "realistic programming movie." Instead of hackers typing at light speed to access the mainframe, it's just a dev team slowly descending into madness because their app won't compile. Meanwhile, scope creep lurks around every corner like a horror movie villain, and the project manager has somehow configured Slack notifications to appear directly in your nightmares. The follow-up tweet really nails the corporate dystopia - "Do I REALLY need to open a ticket for this life-or-death situation?" "Yes." Because nothing says emergency like proper documentation.

The AUDACITY of product managers taking credit for developer blood, sweat, and tears! 💀 While the senior and junior devs are literally HAULING themselves up the mountain of impossible requirements and technical debt, the product manager is just chilling in a sleeping bag, doing absolutely NOTHING. And then—THE NERVE—when the devs finally make some progress, the PM wakes up, stretches, and has the GALL to proclaim "Look how far I climbed, and I'm not even tired." Meanwhile, the developers are one energy drink away from cardiac arrest. But hey, user feedback improved, so mission accomplished, right? 🙃

The productivity multiplier we never asked for! Two engineers casually "vibe coding" together can now generate enough technical debt to keep an entire engineering department busy for months. It's that magical moment when someone says "let's just ship it and fix it later" and suddenly your codebase has more workarounds than actual features. The best part? Those two engineers have probably moved on to a new project by the time anyone discovers their architectural masterpiece of duct tape and prayers. Efficiency at its finest!